Association of Neutrophil to Lymphocyte Ratio on 90-Day Functional Outcome in Patients with Intracerebral Hemorrhage Undergoing Surgical Treatment.
The inflammatory response plays a vital role in the pathologic mechanism of intracerebral hemorrhage. It recently has been reported that neutrophil to lymphocyte ratio (NLR) could represent a novel composite inflammatory marker for predicting the prognosis of intracranial hemorrhage (ICH). However, in considering the effects of surgical evacuation on the initiation of inflammatory responses, the relationship between NLR and functional outcome of patients with ICH after surgical treatment is still controversial. Here, we aimed to assess the predictive value of admission NLR and other available laboratory parameters for 90-day outcome of patients with ICH undergoing neurosurgical treatment.
In total, 104 patients with acute ICH admitted to West China Hospital from October 2016 to January 2018 were retrospectively enrolled. Admission absolute neutrophil count, lymphocyte count, and white blood count were extracted from electronic medical records of patents with ICH. The associations between outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. The comparison of predictive power of independent predictors was evaluated by receiver operating characteristic curves.
In total, 59 patients with ICH who underwent surgical treatment exhibited unfavorable outcomes, which was associated with greater admission NLR (odds ratio [OR] 0.692, 95% confidence interval [CI] 0.518-0.925, P = 0.01; OR 1.148, 95% CI 1.078-1.222, P < 0.01; OR 1.215, 95% CI 1.015-1.454, P = 0.03), lower Glasgow Coma Scale score, and larger hematoma. NLR showed the best predictive power by comparing with other laboratorial variables (area under the curve 0.668, 95% CI 0.569-0.757, P < 0.01) and also was found to linearly correlate with Glasgow Coma Scale score at admission, hematoma volume, absolute neutrophil count, absolute lymphocyte count, and hydrocephalus. Meanwhile, the best predictive cutoff point of 6.46 for NLR also was identified.
Other than the association of prognosis of patients with ICH, NLR exhibited potential independent predictive ability for 90-day functional outcomes of patients with ICH after surgery.
Zhang F
,Tao C
,Hu X
,Qian J
,Li X
,You C
,Jiang Y
,Yang M
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Predictive Accuracy of Neutrophil-to-Lymphocyte Ratio on Long-Term Outcome in Patients with Spontaneous Intracerebral Hemorrhage.
It is well established that inflammation plays a critical role in the progression of intracerebral hemorrhage (ICH). Recently the neutrophil-to-lymphocyte ratio (NLR) was identified as a predictor for the short-term outcome in ICH patients. However, the association of NLR with the long-term outcome in patients with ICH remains unknown. Here, we aimed to assess the relationship between NLR and the long-term prognosis in ICH patients.
All patients with spontaneous ICH who were hospitalized at West China Hospital of Sichuan University from October 2013 to May 2017 were retrospectively enrolled. White blood count, absolute count of neutrophils, and lymphocytes were extracted from electronic medical records, and NLR was calculated according to admission neutrophil count (ANC) and lymphocyte count (ALC). The associations between long-term outcomes and laboratory biomarkers were estimated by multivariable logistic regression analysis. Receiver operating characteristic (ROC) curves were also determined to compare the predictive powers between each inflammatory factor.
A total of 481 ICH patients were included in the study. Of those, 204 presented with unfavorable outcomes, and 142 were dead within 6 months. Age, Glasgow Coma Scale (GCS) scores, WBC, ANC, NLR, hematoma size, and hydrocephalus were independently associated with poor prognosis of ICH. Multiple linear analysis showed GCS, hematoma volume, WBC, ANC, and ALC to be correlated with NLR. Moreover, in comparison with other single laboratory determinations, NLR also showed better predictive capacity for long-term mortality and morbidity, for which the best predictive cutoff values were 9.07 and 8.69, respectively.
NLR independently predicts 180-day morbidity and 180-day mortality in patients with spontaneous ICH.
Zhang F
,Ren Y
,Fu W
,Yang Z
,Wen D
,Hu X
,Tao C
,Li X
,You C
,Xin T
,Yang M
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Neutrophil and Platelet to Lymphocyte Ratios in Associating with Blood Glucose Admission Predict the Functional Outcomes of Patients with Primary Brainstem Hemorrhage.
Because of a lack of markers for predicting prognosis and an underlying mechanism, patients with primary brainstem hemorrhage (PBH) are currently treated with multiple strategies, but most of them have poor outcomes in a comparison with patients with supratentorial intracranial hemorrhage. Recently, it has been reported that the neutrophil-to-lymphocyte ratio (NLR) represents a novel composite inflammatory marker to predict the prognosis of patients with intracranial hemorrhage, a majority of whom have supratentorial hemorrhage. In this report, we aim to assess the potential predictive value of NLR in patients with PBH. In addition, other available laboratory parameters, including platelet-to-lymphocyte ratio (PLR), and admission blood glucose level (ABG), will be also investigated as markers for prognosis in patients with PBH.
This study retrospectively enrolled 225 patients with acute PBH who were admitted West China Hospital from January 2012 to December 2016. ABG and absolute numbers of neutrophils, lymphocytes, white blood cells, and platelets were extracted from electronic medical records. ABG, NLR, and PLR were calculated and further assessed using multivariable logistic regression analysis for understanding the associations of treatment outcomes. The comparison of predictive power of independent predictors was evaluated using receiver operating characteristic.
Of 225 inpatients, NLR (odds ratio [OR], 1.82; 95% confidence interval [CI], 1.24-2.62, P < 0.01), PLR (OR, 1.43; 95% CI, 1.11-2.36; P = 0.013), and ABG (OR, 6.57; 95% CI, 2.78-15.52; P < 0.01) were independently associated with 90-day status in 112 patients with unfavorable outcomes. All 3 parameters also correlated with admission Glasgow Coma Scale score (r = -0.244, P < 0.001; r = -0.292, P < 0.001; r = -0.661, P < 0.01) and absolute neutrophil counts (r = 0.645, P < 0.001; r = 0.347, P < 0.001; r = 0.695, P < 0.01). Meanwhile, NLR exhibits a comparable predictive power by comparing with PLR (area under the curve [AUC], 0.694; 95% CI, 0.626-0.764; P < 0.001; versus AUC, 0.662; 95% CI, 0.596-0.724; P < 0.001). In addition, ABG shows a positive predictive value (AUC, 0.784; 95% CI, 0.725-0.832; P < 0.001). The best independent predictive cutoff points were 6.65, 59.3, and 7.81 mmol/L for NLR, PLR, and ABG, respectively. Nevertheless, a combination of 3 parameters shows the best predictive ability (AUC, 0.835; 95% CI, 0.781-0.883; P < 0.001).
NLR, PLR, and ABG can be used to independently predict 90-day functional outcome in patients after PBH. When combined, they have better predictive power in identifying PBH patients with a poor prognosis. To our knowledge, this study is the first to reveal the associations between NLR, PLR, and hyperglycemia and the functional outcomes of patient with PBH. In associating with previously studies on hemorrhage site, our results provide a good opportunity to elucidate the underlying mechanisms of PBH.
Fan Z
,Hao L
,Chuanyuan T
,Jun Z
,Xin H
,Sen L
,Juan Q
,Cao Y
,Mu Y
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The Predictive Role of Postoperative Neutrophil to Lymphocyte Ratio for 30-Day Mortality After Intracerebral Hematoma Evacuation.
To evaluate whether the postoperative neutrophil-to-lymphocyte ratio (NLR) is a prognostic marker for patients with intracerebral hemorrhage (ICH) undergoing surgical hematoma evacuation.
This retrospective cohort study was conducted to identify patients with ICH who underwent hematoma evacuation between January 2013 and December 2018. Data on demographics, clinical features, laboratory tests (admission and postoperative), and imaging information were collected. The associations between variables and 30-day mortality were assessed by multivariable logistic regression analysis. The predictive power of independent predictors was evaluated by receiver operating characteristic (ROC) curve analysis.
A total of 380 patients were included. Multivariable analysis identified admission Glasgow Coma Scale score (odds ratio [OR], 0.61; 95% confidence interval [CI], 0.53-0.70; P < 0.001) and initial hematoma volume (OR, 1.01; 95% CI, 1.01-1.02; P = 0.022) were independently associated with 30-day mortality. With regard to laboratory biomarkers, postoperative NLR (OR, 1.04; 95% CI, 1.01-1.08; P = 0.014) was independently correlated with 30-day death, but admission NLR (OR, 1.00; 95% CI, 0.97-1.03; P = 0.944) was not. The best predictive cutoff point of 12.97 for postoperative NLR (area under the ROC curve, 0.606; P = 0.006) for predicting 30-day mortality was determined by ROC analysis.
In patients with ICH undergoing hematoma evacuation, admission Glasgow Coma Scale score, initial hematoma volume, and postoperative NLR were independently associated with 30-day mortality. Postoperative NLR may be a prognostic marker in surgical ICH patients, and future studies are needed to confirm this finding.
Chen W
,Wang X
,Liu F
,Tian Y
,Chen J
,Li G
,You C
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